Literature DB >> 2626365

Nuclear chromatin texture to differentiate follicular and papillary carcinoma of the thyroid.

O Ferrer-Roca1, E Ballester-Guardia, J Martin.   

Abstract

This study presents the results of an automatic classification of six purely papillary, five purely follicular and five mixed papillary-follicular carcinomas of the thyroid. All cases were correctly classified with only two chromatin textural parameters obtained in the Olga's scan software package developed in our laboratory. Chromatin texture lines were generated by a unidirectional grey level gradient, obtained as a natural logarithmic function of the integrated optical density of each nucleus; this increased the difference between clear papillary and granular follicular nuclei. The accuracy of the method allowed a follicular carcinoma to be correctly classified as a mixed follicular-papillary. Finally a columnar-cell carcinoma of the thyroid was detected by means of its atypical DNA histogram.

Entities:  

Mesh:

Substances:

Year:  1989        PMID: 2626365     DOI: 10.1016/S0344-0338(89)80194-3

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  3 in total

Review 1.  The study of endocrine tumors by flow and image cytometry.

Authors:  Ingrid Zbieranowski; David Murray
Journal:  Endocr Pathol       Date:  1992-06       Impact factor: 3.943

2.  Evaluation of diagnostic efficiency of computerized image analysis based quantitative nuclear parameters in papillary and follicular thyroid tumors using paraffin-embedded tissue sections.

Authors:  N Gupta; C Sarkar; R Singh; A K Karak
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

3.  Application of microscopic Forster resonance energy transfer to cytological diagnosis of the thyroid tumors.

Authors:  Shin-ichi Murata; Petr Herman; Masanori Iwashina; Kunio Mochizuki; Tadao Nakazawa; Tetsuo Kondo; Nobuki Nakamura; Joseph R Lakowicz; Ryohei Katoh
Journal:  J Biomed Opt       Date:  2005 May-Jun       Impact factor: 3.170

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.